Contrastive EBP was introduced [1]} to handle fine-grained network attention for closely related classes. This approach discards activations common to a pair of classes, to provide network attention specific to one class and not another. In our approach, contrastive EBP [1]} is combined with a triplet loss (eq REF ).
